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The Cityscapes Dataset is intended for. assessing the performance of vision algorithms for major tasks of semantic urban scene understanding: pixel-level, instance-level, and panoptic semantic labeling; supporting research that aims to …

Cityscapes is a large-scale database which focuses on semantic understanding of urban street scenes. It provides semantic, instance-wise, and dense pixel ...

12.11.2020 · CitySpace Dataset Metadata Updated: November 12, 2020. High frequency PM2.5 and meteorological data from a sensor network in the Memphis, TN …

The videos below provide further examples of the Cityscapes Dataset. The first video contains roughly 1000 images with high quality annotations overlayed. The second video visualizes the precomputed depth maps using the corresponding right stereo views.

Cityscapes is a dataset consisting of diverse urban street scenes across 50 different cities at varying times of the year as well as ground ...

Cityscapes is comprised of a large, diverse set of stereo video sequences recorded in streets from 50 different cities. 5000 of these images ...

Cityscapes data (dataset home page) contains labeled videos taken from vehicles driven in Germany. This version is a processed subsample created ...

29.07.2020 · The Cityscapes dataset consists of diverse urban street scenes from across 50 different cities obtained at different times throughout the year. It also contains ground truths for several vision tasks including semantic segmentation, instance level segmentation (TODO), and stereo pair disparity inference.

City Scapes dataset is a very popular dataset that consists of labeled street images (from video sequence). There are 5000 high-quality ...

This large-scale dataset contains a diverse set of stereo video sequences recorded in street scenes from 50 different cities, with high quality pixel-level ...

The Cityscapes Dataset · assessing the performance of vision algorithms for major tasks of semantic urban scene understanding: pixel-level, instance-level, and ...